Abstract Bias
Definition: The tendency to report only significant results in the abstract, while reporting non-significant results within the main body of the manuscript (not reporting non-significant results altogether would constitute selective reporting). The consequence of abstract bias is that studies reporting non-significant results may not be captured with standard meta-analytic search procedures (which rely on information in the title, abstract and keywords) and thus biasing the results of meta-analyses.
Related terms: Cherry-picking, Publication bias (File Drawer Problem), Selective reporting
Reference:
- Duyx, B., Swaen, G. M., Urlings, M. J., Bouter, L. M., & Zeegers, M. P. (2019). The strong focus on positive results in abstracts may cause bias in systematic reviews: A case study on abstract reporting bias. Systematic Reviews, 8(1), 1–8.
Originally drafted by: Ali H. Al-Hoorie
Reviewed by: Mahmoud Elsherif, Bethan Iley, Sam Parsons, Gerald Vineyard, Eliza Woodward, Flávio Azevedo